Staff Software Engineer, Cloud Data Storage [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Cloud Data Storage based in the United States.

This role offers the opportunity to build and scale critical distributed data infrastructure powering reliable workflow execution at global scale.
The successful candidate will design advanced storage systems, improve reliability, and solve complex engineering challenges across cloud environments.
You will own key components of a highly scalable persistence platform, including storage abstractions, data lifecycle systems, and performance optimization.
Working as a technical leader, you will influence architecture decisions, mentor engineers, and drive engineering excellence across teams.
The role combines deep technical ownership with collaboration across product and engineering groups in a remote-first environment.
You will contribute to open source technology and help shape infrastructure that developers rely on for mission-critical applications worldwide.

Accountabilities:

The Staff Software Engineer will lead the design, development, and operation of highly scalable cloud data storage systems. This role requires strong technical ownership, architectural thinking, and the ability to deliver reliable infrastructure solutions while collaborating across engineering teams.

• Design and build distributed data systems, including APIs, schemas, persistence layers, replication strategies, and storage architectures that support large-scale workflow data.
• Own the development and evolution of cloud storage infrastructure, including write-ahead logs, metadata stores, caching systems, and tiered storage solutions.
• Improve reliability and performance by defining service objectives, creating testing strategies, profiling critical workloads, and leading operational improvements.
• Drive technical decision-making through architecture proposals, design documentation, and engineering best practices.
• Break down complex roadmap initiatives into actionable technical plans and guide implementation across engineering teams.
• Mentor engineers, provide technical guidance, and help elevate engineering standards and practices.
• Collaborate with teams across cloud infrastructure, server development, and developer experience to deliver complete product capabilities.
• Build and operate services across major cloud platforms while ensuring scalability, durability, and operational excellence.
• Contribute to open source initiatives and continuously improve developer-focused infrastructure solutions.

Requirements:

The ideal candidate is an experienced distributed systems engineer with a strong background in building scalable backend infrastructure. They should combine deep technical expertise with strong collaboration skills and the ability to lead complex engineering initiatives.

• 5+ years of experience designing, building, and operating highly scalable distributed systems.
• Strong computer science fundamentals, including expertise in distributed systems concepts, concurrency, multithreading, and large-scale architecture.
• Advanced programming experience in languages such as Go, Java, or similar backend technologies.
• Proven experience building and running production services on cloud platforms such as AWS; experience with Azure or Google Cloud is a plus.
• Experience designing storage systems, databases, persistence layers, or large-scale data infrastructure.
• Familiarity with technologies such as Elasticsearch, ClickHouse, or similar data platforms.
• Ability to design reliable systems with strong operational practices, monitoring, and performance optimization.
• Experience leading technical initiatives, writing design documents, and influencing engineering decisions.
• Strong communication skills and ability to collaborate effectively across technical teams.
• Experience contributing to open source projects or working with open source technologies is a plus.
• Knowledge of workflow engines, transactional logs, LSM trees, columnar storage, Kubernetes controllers, or multi-region high-availability systems is highly valued.

Benefits:

• Competitive compensation range of $212,000–$286,000 USD , depending on experience, location, and qualifications.
• Eligibility to participate in an equity compensation plan.
• Fully remote opportunity within the United States.
• Unlimited paid time off, 12 company holidays, and 2 floating holidays.
• 100% premium coverage for medical, dental, and vision insurance.
• Life insurance, short-term disability, long-term disability, and supplemental coverage options.
• 401(k) retirement plan through Empower.
• Annual professional development and learning budget.
• Lifestyle spending account to support personal and professional wellbeing.
• Work-from-home setup support, including equipment and office resources.
• Monthly internet reimbursement.
• Work-from-home meal support.
• Mental wellness resources and access to wellness platforms.
• Opportunities to collaborate with a globally distributed engineering team.
• Travel opportunities for team gatherings, company events, and meaningful in-person collaboration.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.